BIROn - Birkbeck Institutional Research Online

    Social inferences from faces: ambient images generate a three-dimensional model

    Sutherland, C.A.M. and Oldmeadow, J.A. and Santos, I.M. and Towler, John and Michael Burt, D. and Young, A.W. (2013) Social inferences from faces: ambient images generate a three-dimensional model. Cognition 127 (1), pp. 105-118. ISSN 0010-0277.

    Full text not available from this repository.

    Abstract

    Three experiments are presented that investigate the two-dimensional valence/trustworthiness by dominance model of social inferences from faces (Oosterhof & Todorov, 2008). Experiment 1 used image averaging and morphing techniques to demonstrate that consistent facial cues subserve a range of social inferences, even in a highly variable sample of 1000 ambient images (images that are intended to be representative of those encountered in everyday life, see Jenkins, White, Van Montfort, & Burton, 2011). Experiment 2 then tested Oosterhof and Todorov’s two-dimensional model on this extensive sample of face images. The original two dimensions were replicated and a novel ‘youthful-attractiveness’ factor also emerged. Experiment 3 successfully cross-validated the three-dimensional model using face averages directly constructed from the factor scores. These findings highlight the utility of the original trustworthiness and dominance dimensions, but also underscore the need to utilise varied face stimuli: with a more realistically diverse set of face images, social inferences from faces show a more elaborate underlying structure than hitherto suggested.

    Metadata

    Item Type: Article
    Keyword(s) / Subject(s): Social inferences, Face perception, First impressions
    School: School of Science > Psychological Sciences
    Depositing User: Administrator
    Date Deposited: 30 Jan 2013 15:11
    Last Modified: 11 Oct 2016 11:59
    URI: https://eprints.bbk.ac.uk/id/eprint/6041

    Statistics

    Downloads
    Activity Overview
    0Downloads
    213Hits

    Additional statistics are available via IRStats2.

    Archive Staff Only (login required)

    Edit/View Item Edit/View Item